Learn R Programming

sparseinv (version 0.1.3)

Computation of the Sparse Inverse Subset

Description

Creates a wrapper for the 'SuiteSparse' routines that execute the Takahashi equations. These equations compute the elements of the inverse of a sparse matrix at locations where the its Cholesky factor is structurally non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions are also implemented. Support for spam matrices is currently limited and will be implemented in the future. See Rue and Martino (2007) and Zammit-Mangion and Rougier (2018) for the application of these equations to statistics.

Copy Link

Version

Install

install.packages('sparseinv')

Monthly Downloads

538

Version

0.1.3

License

GPL (>= 2.1)

Maintainer

Andrew ZammitMangion

Last Published

August 23rd, 2018

Functions in sparseinv (0.1.3)

Takahashi_Davis

Takahashi equations
cholPermute

Sparse Cholesky factorisation with fill-in reducing permutations
symb

Return the symbolic representation of a Matrix
cholsolve

Solve the equation Qx = y
cholsolveAQinvAT

Solve the equation X = AQ^-1t(A) under permutations
densify

Densify with explicit zeroes
sparseinv-package

sparseinv